{"id":"W4392350672","doi":"10.19173/irrodl.v25i1.7567","title":"Navigating the Learning Landscape: Social Cognition and Task-Technology Fit as Predictors for MOOCs Continuance Intention by Sales Professionals","year":2024,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Continuance; Task (project management); Cognition; Psychology; Knowledge management; Educational technology; Electronic learning; Computer-mediated communication; Computer science; Mathematics education; Social psychology; The Internet; World Wide Web; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001695718,0.000215176,0.0002142656,0.001138339,0.0007498008,0.00253951,0.0003750404,0.001084087,0.002385092],"category_scores_gemma":[0.01129478,0.0002274043,0.0005330358,0.0005384712,0.0008730137,0.00105285,0.001428846,0.001414193,0.0003640816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005267996,"about_ca_system_score_gemma":0.0008773901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007654544,"about_ca_topic_score_gemma":0.01090321,"domain_scores_codex":[0.9992189,0.0002413963,0.00006698592,0.0001047828,0.0002191626,0.0001488065],"domain_scores_gemma":[0.9887478,0.00456024,0.002937761,0.0003832345,0.0006738951,0.002697137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005150186,0.000542084,0.985499,0.0000228809,0.00004077654,0.00005709431,0.004750106,0.00009614,0.0002456536,0.00009556639,0.0001615066,0.008437775],"study_design_scores_gemma":[0.000004516497,0.0001126739,0.9923028,0.00003280953,0.00001653298,0.00004423941,0.006117788,0.0008347475,0.00006221716,0.0001765391,0.000284503,0.00001066836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991297,0.00007950493,0.0000612544,0.0001255074,0.000003436026,0.000006291952,0.000009357232,0.000002578085,0.0005822699],"genre_scores_gemma":[0.999616,0.00006118605,0.00007266169,0.00002564918,0.000004534907,0.000006626199,0.00002545412,0.000001944926,0.0001858744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007654544,"threshold_uncertainty_score":0.01521999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05286379623349607,"score_gpt":0.4686909209850191,"score_spread":0.415827124751523,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}